DETECT: A Non-Invasive and Automated Real-Time Disease Detection Tool for Cattle

DETECT：一种针对牛的非侵入性自动化实时疾病检测工具

• 批准号: 10072590
• 金额: $ 86.96万
• 依托单位: ROBOSCIENTIFIC LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10072590
• 关键词: DETECT; Non; Invasive; Automated; Real

The proposed project focusses on developing an **AUTOMATED** data-driven **INNOVATION** for **NON-INVASIVE** and **REAL-TIME** monitoring of respiratory disease in dairy-bred calves. Bovine respiratory disease (BRD) is the most serious issue facing beef and dairy farmers, costing the UK sector alone around £80M per annum (Zoetis 2022) through mortality, veterinary costs, increased labour and reduced animal productivity at the point of infection, but also in later life.The **AMBITION** of **DETECT** is to utilise state-of-the-art technology, alongside commercially relevant lower-cost sensors, to characterise the volatile metabolites found on the breath of healthy cattle, and of those diagnosed with respiratory infection. The system will be designed with flexibility in mind -- in that it will be able to integrate into any calf shed/equipment to provide **ADAPTABLE**, **AUTOMATED** and **REAL-TIME** monitoring of disease at the individual animal level.The **KEY OBJECTIVES** of **DETECT**:1.Develop an automated disease-detection system, based on passive measurement of breath from individual calves.2.Identify differences in the breath of healthy and BRD-diagnosed calves, using these findings to optimise a low-cost automated real-time sensor system.3.Apply advanced data analytics to distinguish between breath and cattle shed background, and to develop models for disease detection.4.Demonstrate the ability of the tool to diagnose (sub-) clinical instances of BRD across a range of farm management and feeding systems.5.Develop a user-friendly decision-support platform to aid early health and management decisions by co-designing the platform with end-users and understanding opportunities and challenges.The project will develop the first passive breath monitoring system designed specifically for calves for the early detection of BRD. This will facilitate early intervention and optimise treatment of individual animals. Reducing the impact of disease in younger calves will improve production efficiency and reduce greenhouse gas (GHG) emissions/kg product (through reduced losses associated with mortality and poor performance). Optimised disease management offers aligned societal benefits (improved welfare, optimised antimicrobial use) and will support increased resilience of the UK's beef and dairy sectors.

拟议项目的重点是开发一种**自动化**数据驱动的**创新**，用于**无创**和**实时**监测奶牛的呼吸道疾病。牛呼吸道疾病（BRD）是牛肉和奶农面临的最严重的问题，仅英国部门每年就损失约8000万英镑（Zoetis 2022），其中包括死亡、兽医费用、劳动力增加和动物感染时生产力下降，以及以后的生活。**DETECT**的**野心**是利用最先进的技术，以及商业上相关的低成本传感器，来表征健康牛和被诊断患有呼吸道感染的牛呼出的挥发性代谢物。该系统的设计将考虑到灵活性，因为它将能够集成到任何小牛棚/设备中，从而在单个动物水平上提供**适应性**、**自动化**和**实时**疾病监测。**检测**的**主要目标**：开发一种基于被动测量个体小牛呼吸的自动疾病检测系统。识别健康犊牛和brd诊断犊牛的呼吸差异，利用这些发现优化低成本自动化实时传感器系统。应用先进的数据分析来区分呼吸和牛棚背景，并开发疾病检测模型。展示该工具在一系列农场管理和喂养系统中诊断BRD（亚）临床实例的能力。开发一个用户友好的决策支持平台，通过与最终用户共同设计平台并了解机遇和挑战，帮助早期健康和管理决策。该项目将开发第一个专门为小牛设计的被动呼吸监测系统，以便早期发现BRD。这将有助于早期干预和优化个体动物的治疗。减少疾病对犊牛的影响将提高生产效率，减少每公斤产品的温室气体（GHG）排放量（通过减少与死亡率和业绩不佳相关的损失）。优化的疾病管理提供了一致的社会效益（改善福利，优化抗菌药物的使用），并将支持提高英国牛肉和乳制品行业的弹性。